Supervision

Current PhD Students

  • David Fleischer, Statistics PhD, McGill University (joint with David Stephens)

  • Ziang Gao, Statistics PhD, McGill University (joint with Masoud Asgharian)

  • Yixuan Li, Statistics PhD, McGill University (joint with Ariane Marelli and Yue Li)

  • Weihua Shi, Statistics PhD, McGill University (joint with Yue Zhao)

  • Mingqi Wu, Statistics PhD, McGill University (joint with Qiang Sun)

Current Postdoctoral Fellows

  • Chi-Kuang Yeh, CANSSI distinguish postdoctoral fellow, McGill University (joint with Peijun Sang, Qihuang Zhang and Celia Greenwood)

  • Kunpeng Xu, postdoctoral fellow, McGill University (joint with Yue Li)

Current Masters Students

  • Tiankang Lu, Biostatistics Masters, McGill University (joint with Qihuang Zhang)

  • Francois Rocheleau, Statistics Masters, McGill University (joint with Christian Genest)

  • Qiushi Meng, Computer Science Masters, McGill University (joint with Yue Li)

Past PhD Students

  • Peng Tang (2024)
    Statistics PhD, McGill University (joint with Abbas Khalili)

    • Dissertation: New regularization methods for order estimation in finite mixture models

  • Yixiao Zeng (2024)
    Quantitative Life Science PhD, McGill University (joint with Celia Greenwood)

    • Dissertation: Two Advancements in Statistical Learning Methods

  • Shomoita Alam (2023)
    Statistics PhD, McGill University (joint with David Stephens)

    • Dissertation: High-dimensional graphical models for noisy data

    • Postdoctoral Fellow, Biostatistics, Bioinformatics and Epidemiology Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center

  • Mohamed Ouhourane (2022)
    Statistics PhD, University of Quebec in Montreal (joint with Karim Oualkacha)

    • Dissertation: High-dimensional asymmetric quantile and expectile regression and variable group selection

    • Desjardins

  • Yi Lian (2022)
    Biostatistics PhD, McGill University (joint with Robert Platt)

    • Dissertation: Some new computational methods in high-dimensional statistical learning in biostatistics

    • Postdoctoral Fellow, Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania

  • Lamin Juwara (2022)
    Quantitative Life Science PhD, McGill University (joint with Paramita Saha Chaudhuri and Ana Miriam Velly)

    • Dissertation: Privacy-preserving regression methods for distributed biomedical data

    • Postdoctoral Fellow, Electronic Health Information Laboratory, The Ottawa Hospital

  • Sahir Bhatnagar (2018)
    Biostatistics PhD, McGill University (joint with Celia Greenwood)

    • Dissertation: Penalized regression methods for interaction and mixed-effects models with applications to genomic and brain imaging data

    • Assistant Professor, Department of Epidemiology, Biostatistics and Occupational Health, Department of Diagnostic Radiology, McGill University

Past Masters Students

  • Peter Park (2021)
    Statistics Masters, McGill University (joint with Xiangfei Meng)
    Federal Government of Canada

  • Xiaonan Da (2021)
    Statistics Masters, McGill University (joint with Abbas Khalili)
    Statistics Canada

  • David Fleischer (2020)
    Statistics Masters, McGill University (joint with David Stephens)
    Statistics PhD student, McGill University

  • Yasmine Bouguerche (2020)
    Statistics Masters, McGill University
    Desjardins

  • Annik Gougeon (2019)
    Statistics Masters, McGill University (joint with Abbas Khalili)
    Statistics Canada

Past Undergraduate Trainees

  • Ziqi Ye (2024)
    BSc. in Mathematics. McGill University
    Master of Advanced Study program, University of Cambridge

  • Yining Fan (2022)
    BSc. in Statistics and Computer Science. McGill University
    Research Manuscript: Transitions between heart failure states in adult patients with congenital heart disease.
    Master of Statistical Science program, University of Oxford

  • Qiyu (Kally) Wang (2022)
    BSc. in Honours Computer Science and Biology. McGill University
    Research Manuscript: Transitions between heart failure states in adult patients with congenital heart disease.
    Statistics Masters program, University of California, Berkeley

  • Andrew Cheng (2020)
    BSc. in Statistics and Computer Science. McGill University
    SURA: Science Undergraduate Research Awards
    Computer Science PhD program, Harvard University

  • Ziang Niu (2020)
    BSc. in Statistics. Visiting Undergraduate Research Trainee. Renmin University.
    Statistics PhD program, University of Pennsylvania

  • Yixuan Li (2020)
    BSc. in Statistics. Visiting Undergraduate Research Trainee. Nankai University.
    Statistics PhD program, McGill University

  • Simon Fontaine (2020)
    BSc. in Honours Statistics. McGill University
    SURA: Science Undergraduate Research Awards
    Published Research: A unified approach to sparse tweedie modeling of multi-source insurance claim data. Technometrics, 62(3), 339–356.
    Statistics PhD program, University of Michigan

  • Mohan Zhao (2020)
    BSc. in Mathematics. McGill University
    Published Research: Evaluating distributed policies for conjunctive surface water-groundwater management in large river basins: Water uses versus hydrological impacts. Water Resources Research, 58(1)
    Computer Science PhD program, University of Toronto

  • He Zhou (2018)
    BSc. in Statistics. Visiting Undergraduate Research Trainee. Fudan University.
    Published Research: Tweedie gradient boosting for extremely unbalanced zero-inflated data. Communications in Statistics - Simulation and Computation, 51(9), 5507– 5529.
    Statistics PhD program, University of Minnesota